Item: Treasure Data
Rating: 7
Author: Verified User

Use Cases and Deployment Scope

Treasure Data is being used as our analytics data layer. Most of our data analytics and reports are drawn from Treasure Data.

Pros and Cons

Executing large queries is relatively quick and scalable
Well integrated with other systems

Indexing functionality is lacking
Having a query plan or more detailed breakdown for queries would be nice

Return on Investment

Execution of large queries allows better exposure to both high level and granular information
Automating processes is simple, and reduces the resources needed to develop features

Innovative Uses

Aggregated data serves as a data mart for nontechnical members of the organization
Treasure Data reduces the load on production by handling most of the data manipulation for ETL processes

Alternatives Considered

Amazon Redshift, MongoDB and Microsoft SQL Server

While each product has its own strengths and weaknesses, Treasure Data handles big data the best and in a scalable way.

Other Software Used

MongoDB, Looker

Likelihood to Recommend

Having Treasure Data as a database for log files or analytics is most likely the best use case. If used as a production level database, the query times may be too slow.

Treasure Data Review

Overall Satisfaction with Treasure Data